MIRI_AB2Slice¶
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class
jwst.transforms.
MIRI_AB2Slice
(beta_zero=Parameter('beta_zero', value=0.0), beta_del=Parameter('beta_del', value=1.0), channel=Parameter('channel', value=1.0), **kwargs)[source]¶ Bases:
astropy.modeling.core.Model
MIRI MRS alpha, beta to slice transform
Attributes Summary
Beta_del parameter
Beta_zero parameter
one of 1, 2, 3, 4
The number of inputs.
The number of outputs.
Names of the parameters that describe models of this type.
Methods Summary
__call__
(*inputs[, model_set_axis, …])Evaluate this model using the given input(s) and the parameter values that were specified when the model was instantiated.
evaluate
(beta, beta_zero, beta_del, channel)Evaluate the model on some input variables.
Attributes Documentation
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beta_del
= Parameter('beta_del', value=1.0)¶ Beta_del parameter
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beta_zero
= Parameter('beta_zero', value=0.0)¶ Beta_zero parameter
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channel
= Parameter('channel', value=1.0)¶ one of 1, 2, 3, 4
- Type
MIRI MRS channel
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fittable
= False¶
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n_inputs
= 1¶ The number of inputs.
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n_outputs
= 1¶ The number of outputs.
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param_names
= ('beta_zero', 'beta_del', 'channel')¶ Names of the parameters that describe models of this type.
The parameters in this tuple are in the same order they should be passed in when initializing a model of a specific type. Some types of models, such as polynomial models, have a different number of parameters depending on some other property of the model, such as the degree.
When defining a custom model class the value of this attribute is automatically set by the
Parameter
attributes defined in the class body.
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standard_broadcasting
= False¶
Methods Documentation
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__call__
(*inputs, model_set_axis=None, with_bounding_box=False, fill_value=nan, equivalencies=None, inputs_map=None, **new_inputs)¶ Evaluate this model using the given input(s) and the parameter values that were specified when the model was instantiated.
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